¹College of Automation, Chongqing University, Chongqing, China
²School of Engineering, University of Guelph, Guelph, Ontario, Canada

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Abstract—The paper studies delay-dependent global robust problem for a class of uncertain stochastic delayed neural networks of neutral-type with discrete and distributed delays. Novel stability criteria are obtained in terms of linear matrix inequality (LMI) by employing the Lyapunov- Krasovskii functional method and using the free-weighting matrices technique. In addition, two examples are given to show the effectiveness of the obtained conditions.

Index Terms—Global robust stability; Delayed neural networks; Neutral-type; Lyapunov-Krasovskii functional; Discrete and distributed delays.

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Cite: Guoquan Liu, Simon X. Yang, Wei Fu, "Stability Analysis for Uncertain Stochastic Delayed Neural Networks of Neutral-Type with Discrete and Distributed Delays," Journal of Computers vol. 7, no. 2, pp. 384-392, 2012.